A comparison of machine learning algorithms applied to american legislature polarization

Published in 2020 IEEE 21st International Conference on Information Reuse and Integration for Data Science (IRI), 2020

Recommended citation: Gabriel Mersy, Vincent Santore, Isaac Rand, Corrine Kleinman, Grant Wilson, Jason Bonsall, and Tyler Edwards. 2020. A Comparison of Machine Learning Algorithms Applied to American Legislature Polarization. In Proceedings of the 2020 IEEE 21st International Conference on Information Reuse and Integration for Data Science (IRI), August 11 - Aug 13, 2020, virtual, 451-456. https://doi.org/10.1109/IRI49571.2020.00075 https://arxiv.org/pdf/2008.04072.pdf